Daisuke Maeda
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Oncology top 10%
- PARP inhibition in cancer therapy
Papers in
-
- Photonic and Optical Devices 8
- Advanced MEMS and NEMS Technologies 8
- Sensorless Control of Electric Motors 7
- Electric Motor Design and Analysis 7
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- Muscle activation and electromyography studies 7
- Co-authors
- Masayuki Seki (5 shared papers)Takemi Enomoto (5 shared papers)Qi Xiao (1 shared paper)Ken‐ichi Fujita (1 shared paper)Srinivasa M. Srinivasula (1 shared paper)Yasunobu Hirata (1 shared paper)Yasuyuki Imai (1 shared paper)Tetsuo Nagano (1 shared paper)
- Journals
- Japanese Journal of Applied Physics (5 papers)DNA repair (3 papers)Applied Physics Letters (3 papers)IEEJ Transactions on Industry Applications (3 papers)Inorganic Chemistry (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Daisuke Maeda
115 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 953
- Oncology 277
- Cancer Research 153
- Cell Biology 171
- Physiology 243
Countries citing papers authored by Daisuke Maeda
This map shows the geographic impact of Daisuke Maeda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daisuke Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Maeda more than expected).
Fields of papers citing papers by Daisuke Maeda
This network shows the impact of papers produced by Daisuke Maeda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daisuke Maeda. The network helps show where Daisuke Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 347 | |
| 2 | 2006 | 245 | |
| 3 | 2011 | 196 | |
| 4 | 2006 | 163 | |
| 5 | 2002 | 104 | |
| 6 | 2015 | 99 | |
| 7 | 2015 | 78 | |
| 8 | 2016 | 65 | |
| 9 | 2015 | 56 | |
| 10 | 2019 | 55 | |
| 11 | 2013 | 54 | |
| 12 | 2004 | 52 | |
| 13 | 2013 | 46 | |
| 14 | 2004 | 46 | |
| 15 | 2014 | 42 | |
| 16 | 2015 | 38 | |
| 17 | 2015 | 37 | |
| 18 | 2018 | 36 | |
| 19 | 2004 | 36 | |
| 20 | 2008 | 36 |
About Daisuke Maeda
Daisuke Maeda is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology, Materials Chemistry and Oncology, having authored 130 papers that have together received 2.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Photonic and Optical Devices (8 papers), Advanced MEMS and NEMS Technologies (8 papers), Sensorless Control of Electric Motors (7 papers), Mechanical and Optical Resonators (7 papers), Porphyrin and Phthalocyanine Chemistry (7 papers), Muscle activation and electromyography studies (7 papers) and Electric Motor Design and Analysis (7 papers). The work is most often cited by research in Molecular Biology (953 citations), Oncology (277 citations), Cancer Research (153 citations), Cell Biology (171 citations) and Physiology (243 citations). Daisuke Maeda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masayuki Seki, Takemi Enomoto, Qi Xiao, Ken‐ichi Fujita, Srinivasa M. Srinivasula, Yasunobu Hirata, Yasuyuki Imai, Tetsuo Nagano, Tatsuro Irimura and Hirotatsu Kojima. Their work appears in journals such as Japanese Journal of Applied Physics, DNA repair, Applied Physics Letters, IEEJ Transactions on Industry Applications and Inorganic Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.